Gulls
GP: 82 | W: 47 | L: 28 | OTL: 7 | P: 101
GF: 302 | GA: 276 | PP%: 19.01% | PK%: 80.75%
GM : Pascal Lemelin | Morale : 75 | Team Overall : 62
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Gulls
47-28-7, 101pts
1
FINAL
4 Barracuda
47-28-7, 101pts
Team Stats
L2StreakL1
25-13-3Home Record25-13-3
22-15-4Away Record22-15-4
6-4-0Last 10 Games5-4-1
3.68Goals Per Game4.16
3.37Goals Against Per Game3.54
19.01%Power Play Percentage27.73%
80.75%Penalty Kill Percentage77.87%
Gulls
47-28-7, 101pts
3
FINAL
4 Stars
55-23-4, 114pts
Team Stats
L2StreakW8
25-13-3Home Record28-10-3
22-15-4Away Record27-13-1
6-4-0Last 10 Games9-1-0
3.68Goals Per Game3.79
3.37Goals Against Per Game2.90
19.01%Power Play Percentage24.62%
80.75%Penalty Kill Percentage80.24%
Team Leaders
David KampfGoals
David Kampf
1
David KampfAssists
David Kampf
3
David KampfPoints
David Kampf
4
David KampfPlus/Minus
David Kampf
2
Dan VladarWins
Dan Vladar
45
Save Percentage
Lukas Dostal
0.924

Team Stats
Goals For
302
3.68 GFG
Shots For
2987
36.43 Avg
Power Play Percentage
19.0%
50 GF
Offensive Zone Start
41.8%
Goals Against
276
3.37 GAA
Shots Against
2769
33.77 Avg
Penalty Kill Percentage
80.8%
46 GA
Defensive Zone Start
39.4%
Team Info

General ManagerPascal Lemelin
CoachTodd Nelson
DivisionPacific Division
ConferenceWestern Conference
CaptainBrad Malone
Assistant #1Jonathan Ericsson
Assistant #2Eric Tangradi


Arena Info

Capacity3,000
Attendance1,472
Season Tickets300


Roster Info

Pro Team36
Farm Team21
Contract Limit57 / 80
Prospects37


Team History

This Season47-28-7 (101PTS)
History887-495-140 (0.583%)
Playoff Appearances18
Playoff Record (W-L)74-99
Stanley Cup0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Eetu Luostarinen27X100.00793593648179816574636167626564075650232925,000$
2Eric Tangradi (A)0XX100.008346816292737661565863646980720756503211,000,000$
3Michael Dal Colle0XX100.00803594658374816859656256676965075650251906,500$
4Drew O'Connor (R)0X100.00583592628377796367666264666563075640233925,000$
5Anthony Greco0XX100.00563591736574796655646158647572075640283750,000$
6Jordan Szwarz0XX100.00724679637172756270616363637870075640301975,000$
7Brad Malone (C)0XX100.007661616284778261796362646380780756403211,000,000$
8Marc Michaelis (R)0XX100.00593595667078806356616257637166075630263925,000$
9Nolan Foote (R)0X100.00583595648370816559646357656163075630213925,000$
10Tyler Benson0X100.00543595657286776756666157636566075630231850,000$
11Austin Rueschhoff0X100.00898578569974715953575860546764075620243750,000$
12Christopher Wilkie0X100.00635768617278735962576463666964075610253750,000$
13Connor Mackey (R)0X100.00664285657877736230686361526965075640253925,000$
14Jonathan Ericsson (A)0X100.007335935890716759306057654987770756403711,000,000$
15Ethan Prow0X100.00594284636874796330665859507769075630292750,000$
16Jake Christiansen (R)32X100.00674383597674795930645559486362075610223925,000$
17Kristians Rubins0X100.00857459589474795630555361466965075610252700,000$
18Sean Day0X100.00793865598868735830605461466563075610231700,000$
Scratches
1Justin Richards (R)0XX89.33673594697277816771666168646562075650233925,000$
2Mark Kastelic (R)0X100.00763682568576815860565759566362075610223925,000$
3Nicholas Halloran0X100.00563986626571766366655457566764075610243750,000$
4Stelio Mattheos0XX100.00683689607773685967565861596364075610221850,000$
5Gregor MacLeod0XX100.00744383568362675659585658566563075600232700,000$
6Mason Primeau0X100.00813986569073785461595061536264075600203750,000$
7Patrick Khodorenko (R)0X100.00653593587479735769615654576563075600233925,000$
8Ryan McGregor (R)0XX100.00593583586882865766625659576362075600223925,000$
9Kyle MacLean0XX100.00685372557768735660585459556362075590223750,000$
10Riley Woods0XX100.00583593586772785762605554566563075590233750,000$
11Cole Schwindt (R)0XX100.00685669557763685357525654556062075570203925,000$
12Jonathan Aspirot0X100.00655669607474795830595756486965075600222700,000$
13Hunter Drew0X100.00705669557970755530555657476563075590232700,000$
14Cole Hults (R)0X100.00633888547268735630575354466563075580233925,000$
TEAM AVERAGE99.6769448361787476605461586057686507562
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Dan Vladar100.0079838086787779787779786872075680241750,000$
2Lukas Dostal (R)100.0073888675727173727173726165075640213925,000$
Scratches
1Griffen Outhouse100.0063797771626163626163626569075580232700,000$
2Brett Brochu (R)100.0059656370585759585759585961075550193925,000$
TEAM AVERAGE100.006979777668676968676968636707561
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Nelson65746670777173CAN5131,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Justin RichardsGulls (ANA)C/RW80394988101007622932410925912.04%25173221.6569155721600061988254.00%151300311.0206000657
2Connor MackeyGulls (ANA)D82135669-3661015797160471228.13%107195823.887916932270110188320.00%000100.7000110340
3Brad MaloneGulls (ANA)C/LW822240621620214177258831698.53%25141817.30459311310002471059.94%133300000.8712000544
4Drew O'ConnorGulls (ANA)LW822931601820291242516216211.55%19130315.9004412480003832253.15%14300100.9201000623
5Eetu LuostarinenGulls (ANA)C5426325814240681541836312414.21%13101918.8841115371300002722357.62%123400011.1402000214
6Eric TangradiGulls (ANA)C/LW71253358125751961361855515613.51%18135019.022792515100021024350.61%99000000.8613010436
7Michael Dal ColleGulls (ANA)LW/RW79292756-55002001392557715311.37%15185323.4646103920610142165249.66%59400120.6026000443
8Jordan SzwarzGulls (ANA)C/RW75222446-202801091182196918710.05%18122316.323710421810000163054.41%32900000.7500000212
9Anthony GrecoGulls (ANA)LW/RW37132841400792113299711.50%370519.065813251040001151245.61%5700001.1600000002
10Ethan ProwGulls (ANA)D821129406115558812339678.94%110174821.335712642080001183200.00%000000.4600010122
11Jonathan EricssonGulls (ANA)D747303774601207511643666.03%108174423.58347461970112163100.00%000000.4200000011
12Sean DayGulls (ANA)D74431356935222477620435.26%73139218.8227935134000093100.00%000000.5000000112
13Marc MichaelisGulls (ANA)C/LW821115266100429211228869.82%77719.4100000000151246.23%86300000.6700000020
14Nolan FooteGulls (ANA)LW8261824710024599830786.12%106968.500441258000090154.33%20800000.6911000002
15Jake ChristiansenGulls (ANA)D675182346062515511379.09%84113216.902021143000295200.00%000000.4100000021
16Austin RueschhoffGulls (ANA)RW3961016626070307319518.22%652513.4700038000011139.47%3800000.6100000110
17Kristians RubinsGulls (ANA)D702141611735225415212363.85%68109015.580001137000039000.00%000000.2900000100
18Tyler BensonGulls (ANA)LW806713-102011397417538.11%105066.330000120000100151.52%13200000.5100000000
19David KampfDucksC/LW/RW5134200719285163.57%212525.170115110000100164.47%15200000.6401000001
20Mark KastelicGulls (ANA)C30011020442020.00%0270.9300011000000040.00%3500000.7200000000
21Stelio MattheosGulls (ANA)C/RW15101-4007891611.11%1785.2600003000000040.00%500000.2500000000
22Christopher WilkieGulls (ANA)RW3000000001010.00%051.710001100001000.00%000000.0000000000
23Gregor MacLeodGulls (ANA)C/LW4000000000000.00%030.8800000000020050.00%200000.0000000000
24Jonathan AspirotGulls (ANA)D1000000100000.00%044.780000000000000.00%000000.0000000000
25Nicholas HalloranGulls (ANA)RW3000100113100.00%0134.370000000000000.00%000000.0000000000
Team Total or Average13532784967747357830190718202770820197110.04%7222243216.5847891365502117123261558372253.93%762800640.69522130363340
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Dan VladarGulls (ANA)80452850.9003.3546444225925960420.79224801161
2Lukas DostalGulls (ANA)72020.9242.5031200131710000.0000280000
Team Total or Average87472870.9023.2949564227227670420.792248281161


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Anthony GrecoGulls (ANA)LW/RW289/30/1993No174 Lbs5 ft10NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link / NHL Link
Austin RueschhoffGulls (ANA)RW249/7/1997No230 Lbs6 ft7NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link
Brad MaloneGulls (ANA)C/LW325/20/1989No217 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$NoLink / NHL Link
Brett BrochuGulls (ANA)G199/9/2002Yes161 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Christopher WilkieGulls (ANA)RW257/10/1996No190 Lbs6 ft0NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link
Cole HultsGulls (ANA)D235/22/1998Yes189 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Cole SchwindtGulls (ANA)C/RW204/25/2001Yes182 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Connor MackeyGulls (ANA)D259/12/1996Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Dan VladarGulls (ANA)G248/20/1997No185 Lbs6 ft5NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLink / NHL Link
Drew O'ConnorGulls (ANA)LW236/9/1998Yes200 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Eetu LuostarinenGulls (ANA)C239/2/1998No190 Lbs6 ft3NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Link / NHL Link
Eric TangradiGulls (ANA)C/LW322/10/1989No226 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$NoLink / NHL Link
Ethan ProwGulls (ANA)D2911/17/1992No180 Lbs5 ft11NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Link / NHL Link
Gregor MacLeodGulls (ANA)C/LW236/7/1998No170 Lbs6 ft5NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Link / NHL Link
Griffen OuthouseGulls (ANA)G233/13/1998No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Link / NHL Link
Hunter DrewGulls (ANA)D2310/21/1998No191 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Link / NHL Link
Jake ChristiansenGulls (ANA)D229/12/1999Yes195 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Jonathan AspirotGulls (ANA)D225/16/1999No200 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Link / NHL Link
Jonathan EricssonGulls (ANA)D373/2/1984No218 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$NoLink / NHL Link
Jordan SzwarzGulls (ANA)C/RW305/14/1991No192 Lbs5 ft11NoNoNo1Pro & Farm975,000$5,387$918,750$5,076$0$0$NoLink / NHL Link
Justin Richards (Out of Payroll)Gulls (ANA)C/RW233/17/1998Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$Yes925,000$925,000$
Kristians RubinsGulls (ANA)D2512/11/1996No221 Lbs6 ft5NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Link / NHL Link
Kyle MacLeanGulls (ANA)C/LW224/29/1999No183 Lbs6 ft2NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link
Lukas DostalGulls (ANA)G216/22/2000Yes174 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Marc MichaelisGulls (ANA)C/LW267/31/1995Yes187 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Mark KastelicGulls (ANA)C2211/3/1999Yes210 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Mason PrimeauGulls (ANA)C207/28/2001No205 Lbs6 ft5NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link
Michael Dal ColleGulls (ANA)LW/RW256/20/1996No200 Lbs6 ft3NoNoNo1Pro & Farm906,500$5,008$906,500$5,008$0$0$NoLink / NHL Link
Nicholas HalloranGulls (ANA)RW245/13/1997No174 Lbs5 ft10NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link
Nolan FooteGulls (ANA)LW2111/29/2000Yes196 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Patrick KhodorenkoGulls (ANA)C2310/13/1998Yes200 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Riley WoodsGulls (ANA)C/LW236/25/1998No181 Lbs5 ft10NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Link
Ryan McGregorGulls (ANA)C/LW221/29/1999Yes168 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Sean DayGulls (ANA)D231/9/1998No225 Lbs6 ft3NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLink / NHL Link
Stelio MattheosGulls (ANA)C/RW226/14/1999No196 Lbs6 ft1NoNoNo1Pro & Farm850,000$4,696$700,000$3,867$0$0$NoLink / NHL Link
Tyler BensonGulls (ANA)LW233/15/1998No190 Lbs6 ft0NoNoNo1Pro & Farm850,000$4,696$700,000$3,867$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3624.22193 Lbs6 ft22.31846,708$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael Dal ColleTyler BensonJordan Szwarz40122
2Eric TangradiEetu LuostarinenAnthony Greco30122
3Drew O'ConnorBrad MaloneAustin Rueschhoff20122
4Nolan FooteMarc MichaelisMichael Dal Colle10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonathan EricssonConnor Mackey40122
2Ethan ProwSean Day30122
3Kristians RubinsJake Christiansen20122
4Jonathan EricssonConnor Mackey10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael Dal ColleBrad MaloneJordan Szwarz60122
2Eric TangradiEetu LuostarinenAnthony Greco40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael Dal ColleJordan Szwarz60122
2Eetu LuostarinenEric Tangradi40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Dal Colle60122Jonathan EricssonConnor Mackey60122
2Eetu Luostarinen40122Ethan ProwSean Day40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael Dal ColleDrew O'Connor60122
2Eetu LuostarinenEric Tangradi40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael Dal ColleEetu LuostarinenJordan SzwarzJonathan EricssonConnor Mackey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael Dal ColleEetu LuostarinenJordan SzwarzJonathan EricssonConnor Mackey
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Benson, Brad Malone, Drew O'ConnorTyler Benson, Brad MaloneDrew O'Connor
Extra Defensemen
Normal PowerPlayPenalty Kill
Kristians Rubins, Jake Christiansen, Ethan ProwKristians RubinsJake Christiansen, Ethan Prow
Penalty Shots
Michael Dal Colle, Jordan Szwarz, Eetu Luostarinen, Eric Tangradi, Brad Malone
Goalie
#1 : Dan Vladar, #2 : Lukas Dostal
Custom OT Lines Forwards
Michael Dal Colle, Tyler Benson, Eetu Luostarinen, Eric Tangradi, Brad Malone, Jordan Szwarz, Jordan Szwarz, Anthony Greco, Drew O'Connor, Marc Michaelis, Nolan Foote
Custom OT Lines Defensemen
Jonathan Ericsson, Connor Mackey, Ethan Prow, Sean Day, Kristians Rubins


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals320000011312111000000321210000011010050.83313243700102969791061032956975471093228669333.33%13469.23%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
2Americans21100000550110000004221010000013-220.50051015001029697964103295697547491510468112.50%4175.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
3Barracuda4210100014131210010009632110000057-260.7501426400010296979125103295697547119312310314321.43%9188.89%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
4Bears210001001082110000005231000010056-130.750101828001029697967103295697547541164710110.00%3166.67%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
5Bruins211000001112-1110000008711010000035-220.50011193000102969798710329569754788178359444.44%4250.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
6Checkers2110000068-21010000036-31100000032120.50061117001029697969103295697547892610505240.00%4175.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
7Comets4310000021156211000001010022000000115660.7502140611010296979154103295697547172451610410330.00%7185.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
8Condors31100100990110000003122010010068-230.50091625001029697912210329569754799322075600.00%9188.89%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
9Crunch211000005321010000023-11100000030320.5005813011029697960103295697547782016534125.00%80100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
10Devils220000001073110000005411100000053241.000101828001029697910610329569754763231461400.00%60100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
11Eagles3110010010731000010023-12110000084430.50010172700102969798310329569754794301459500.00%7271.43%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
12Firebirds3300000012842200000010731100000021161.0001219310010296979102103295697547952543629222.22%10190.00%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
13Griffins21100000862110000005231010000034-120.50081523001029697971103295697547721816599222.22%7185.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
14Heat41200100912-3211000006512010010037-430.3759142300102969791531032956975471133326841317.69%12283.33%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
15IceHogs32100000981110000005322110000045-140.66791524001029697994103295697547842622609111.11%11281.82%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
16Marlies2020000049-51010000025-31010000024-200.000481200102969796410329569754773296447342.86%30100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
17Monsters201000109901010000045-11000001054120.5009132200102969798210329569754791203162800.00%8275.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
18Moose30001110981200011005501000001043150.833914230010296979100103295697547943120621218.33%9277.78%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
19Penguins2020000038-51010000023-11010000015-400.000369001029697971103295697547781910516116.67%5180.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
20Phantoms2110000078-11010000025-31100000053220.50071320001029697963103295697547612110617228.57%5180.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
21Reign431000001495211000008532200000064260.750142741001029697915210329569754710930209413430.77%10370.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
22Roadrunners30300000413-92020000037-41010000016-500.00047111010296979811032956975471123526645120.00%11463.64%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
23Rocket220000001293110000005321100000076141.000122436001029697979103295697547682015478337.50%50100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
24Senators220000001165110000006421100000052341.0001122330010296979711032956975475512234712433.33%6266.67%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
25Silver Knights420000112318521000001119221000010129370.8752336590010296979222103295697547133402412619315.79%12466.67%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
26Sound Tigers21100000871110000004221010000045-120.50081422001029697987103295697547911735528112.50%9277.78%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
27Stars3120000012120211000009811010000034-120.333122032001029697985103295697547932618678225.00%8275.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
28Thunderbirds320010001064210010006421100000042261.0001018280010296979119103295697547109181996500.00%7185.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
29Wild312000001012-21010000014-32110000098120.3331019290010296979119103295697547111282687700.00%120100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
30Wolf Pack21100000972110000008351010000014-320.5009162500102969795910329569754761162450700.00%11190.91%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
31Wolves21000010523110000002021000001032141.0005510011029697970103295697547522210337114.29%4175.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
Total824028035423022762641221303201158135234118150034114414131010.61630253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
_Since Last GM Reset824028035423022762641221303201158135234118150034114414131010.61630253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
_Vs Conference4620130344216414321221150320179621724980024185814600.65216427944301102969791703103295697547148241731711331442114.58%1382879.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
_Vs Division261180131194895136301101504371355002104446-2300.5779416626020102969791009103295697547857246155650801518.75%701677.14%01683309154.45%1572291353.96%752138454.34%2056144418535811053539

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82101L230253283429872769768589200722
All Games
GPWLOTWOTL SOWSOLGFGA
8240283542302276
Home Games
GPWLOTWOTL SOWSOLGFGA
4122133201158135
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4118150341144141
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2635019.01%2394680.75%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
10329569754710296979
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1683309154.45%1572291353.96%752138454.34%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2056144418535811053539


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2021-10-135Moose3Gulls4BWXBoxScore
4 - 2021-10-1519Wild4Gulls1BLBoxScore
7 - 2021-10-1837Gulls1Heat4ALBoxScore
8 - 2021-10-1949Gulls3Condors4ALBoxScore
10 - 2021-10-2159Gulls4Moose3AWXXBoxScore
12 - 2021-10-2368Gulls5Wild3AWBoxScore
15 - 2021-10-2695Moose2Gulls1BLXBoxScore
17 - 2021-10-28107Americans2Gulls4BWBoxScore
18 - 2021-10-29115Gulls6Silver Knights5AWXXBoxScore
20 - 2021-10-31128Rocket3Gulls5BWBoxScore
22 - 2021-11-02142Devils4Gulls5BWBoxScore
25 - 2021-11-05160Roadrunners3Gulls1BLBoxScore
27 - 2021-11-07176Thunderbirds2Gulls3BWBoxScore
29 - 2021-11-09190Gulls5Comets3AWBoxScore
31 - 2021-11-11205Gulls2Firebirds1AWBoxScore
34 - 2021-11-14229Comets6Gulls4BLBoxScore
36 - 2021-11-16243Bears2Gulls5BWBoxScore
38 - 2021-11-18258Wolves0Gulls2BWBoxScore
42 - 2021-11-22283Gulls6Admirals5AWBoxScore
44 - 2021-11-24299Gulls6Eagles1AWBoxScore
46 - 2021-11-26308Senators4Gulls6BWBoxScore
48 - 2021-11-28332Marlies5Gulls2BLBoxScore
50 - 2021-11-30345Gulls3Reign2AWBoxScore
51 - 2021-12-01350Silver Knights4Gulls7BWBoxScore
53 - 2021-12-03365Heat2Gulls4BWBoxScore
56 - 2021-12-06384Gulls5Bears6ALXBoxScore
57 - 2021-12-07392Gulls1Americans3ALBoxScore
59 - 2021-12-09404Gulls5Monsters4AWXXBoxScore
61 - 2021-12-11423Gulls1Penguins5ALBoxScore
62 - 2021-12-12431Gulls4Thunderbirds2AWBoxScore
65 - 2021-12-15453Firebirds4Gulls5BWBoxScore
67 - 2021-12-17470Roadrunners4Gulls2BLBoxScore
70 - 2021-12-20493Gulls3Condors4ALXBoxScore
71 - 2021-12-21500Gulls2Heat3ALXBoxScore
73 - 2021-12-23520Gulls6Comets2AWBoxScore
77 - 2021-12-27535Barracuda3Gulls5BWBoxScore
79 - 2021-12-29551Comets4Gulls6BWBoxScore
81 - 2021-12-31561Gulls6Silver Knights4AWBoxScore
83 - 2022-01-02578Gulls2Eagles3ALBoxScore
85 - 2022-01-04594Phantoms5Gulls2BLBoxScore
87 - 2022-01-06609Griffins2Gulls5BWBoxScore
89 - 2022-01-08626Wolf Pack3Gulls8BWBoxScore
92 - 2022-01-11644Penguins3Gulls2BLBoxScore
95 - 2022-01-14662Gulls4Wild5ALBoxScore
96 - 2022-01-15675Gulls1IceHogs3ALBoxScore
100 - 2022-01-19703Eagles3Gulls2BLXBoxScore
102 - 2022-01-21719Crunch3Gulls2BLBoxScore
105 - 2022-01-24737Gulls3Bruins5ALBoxScore
107 - 2022-01-26752Gulls2Marlies4ALBoxScore
108 - 2022-01-27757Gulls7Rocket6AWBoxScore
110 - 2022-01-29772Gulls5Senators2AWBoxScore
112 - 2022-01-31794Gulls3Griffins4ALBoxScore
117 - 2022-02-05828Reign1Gulls5BWBoxScore
119 - 2022-02-07845Sound Tigers2Gulls4BWBoxScore
121 - 2022-02-09859Bruins7Gulls8BWBoxScore
124 - 2022-02-12879Silver Knights5Gulls4BLXXBoxScore
126 - 2022-02-14897Barracuda3Gulls4BWXBoxScore
128 - 2022-02-16911Gulls3IceHogs2AWBoxScore
130 - 2022-02-18925Gulls4Admirals5ALXXBoxScore
132 - 2022-02-20938Gulls5Devils3AWBoxScore
133 - 2022-02-21948Gulls4Sound Tigers5ALBoxScore
135 - 2022-02-23955Gulls1Wolf Pack4ALBoxScore
138 - 2022-02-26981Checkers6Gulls3BLBoxScore
141 - 2022-03-011003Admirals2Gulls3BWBoxScore
143 - 2022-03-031018IceHogs3Gulls5BWBoxScore
145 - 2022-03-051033Firebirds3Gulls5BWBoxScore
146 - 2022-03-061045Gulls4Barracuda3AWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2022-03-091067Stars3Gulls5BWBoxScore
151 - 2022-03-111082Stars5Gulls4BLBoxScore
152 - 2022-03-121089Gulls1Roadrunners6ALBoxScore
154 - 2022-03-141107Condors1Gulls3BWBoxScore
157 - 2022-03-171127Heat3Gulls2BLBoxScore
160 - 2022-03-201149Gulls5Phantoms3AWBoxScore
161 - 2022-03-211158Gulls3Wolves2AWXXBoxScore
163 - 2022-03-231165Gulls3Checkers2AWBoxScore
165 - 2022-03-251184Gulls3Crunch0AWBoxScore
168 - 2022-03-281214Monsters5Gulls4BLBoxScore
170 - 2022-03-301225Reign4Gulls3BLBoxScore
174 - 2022-04-031258Gulls3Reign2AWBoxScore
175 - 2022-04-041268Thunderbirds2Gulls3BWXBoxScore
177 - 2022-04-061284Gulls1Barracuda4ALBoxScore
180 - 2022-04-091309Gulls3Stars4ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4828
Attendance40,06620,275
Attendance PCT48.86%49.45%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 1472 - 49.06% 77,245$3,167,045$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,154,255$ 3,048,150$ 2,525,025$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,330$ 3,145,060$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 22,365$ 22,365$




Gulls Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Kris Newbury464166222388708051502656148611.17%149788216.99375087145000140652.92%20.981145
2Michael Latta49612519732267428103298413099.55%158849917.1414354911178152217957.07%30.76410
3Jeff Taffe365130190320125151159213029.98%160639617.5227618811602212131451.09%41.00317
4Andrew Miller411110143253601914567511399.66%102706217.181919381185382017551.22%00.7245
5Jeff Taffe284991292286010453742210159.75%50516018.172524491580771514644.19%10.881133

Gulls Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mark Dekanich19311654210.9102.891166329356262503258780.803117
2Jeremy Smith1708762190.8972.91101761674934808501040.70364
3Juuse Saros1277736140.9152.30767761129434650430.65163
4Harri Sateri1317343140.9093.077914213405445424541050.58255
5Andrew Hammond137714880.9053.09751910138740560200.5569

Gulls Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
580462503132313255584023130202014611432402312011121671412610731353084317083109115320909981143105827961029120521212596123.55%1884973.94%6953177353.75%882167752.59%720137352.44%166886317809321645823
680472103234367264103402680112220312578402113021121641392511236760897511010114611433240114311451026250587464922672324519.40%1392780.58%71135203255.86%848161752.44%747141252.90%1775998377819311560776
776353104132304259453817160300214912524381815011301551342187304498802010741161073008010091093896241779462021121924221.88%1503477.33%2947177853.26%843160952.39%719133453.90%166992414267211500751
87634260443528826820381811041221431331038161500313145135109128847576351062125942996010051044928257791371920372356628.09%1384071.01%21032195052.92%856166951.29%596119549.87%164991415007251463729
980442003373308239694026800231166118484018120314214212121114308507815210851149932340108711141016265594158322662215123.08%1834575.41%71106209952.69%952185451.35%598117950.72%177299215437591541769
10803825052912782275140181103161130110204020140213014811731107278445723310491051103025092610131070266587169921952014321.39%1443079.17%41005198350.68%856170750.15%604116951.67%171192315597801590785
11803325034692732561740191401123131125640141102346142131119727344571831063100101306009989981041261585460622982456325.71%2005771.50%41035205550.36%868171250.70%606120250.42%175595615397891591776
127636290016425423420381815000141281199381814001501261151189254410664430569993284908511062929260586570920331826032.97%1954875.38%41007186254.08%846168350.27%581108853.40%162086614827381510746
13803825024383122585440201201205159131284018130123315312726983125148263109210910633150116211021038298399750122132295222.71%1804972.78%11128210053.71%963179753.59%658126851.89%176599215747591523757
14803925051732952563940211203022139127124018130215115612927106295488783030661151023248010621170990276081282221542415422.41%1634870.55%31078205752.41%882176649.94%653123053.09%175096915557681548768
1580382604246287253344021120102414412519401714032221431281510028747075712073107993161010431104992278492672722582476626.72%1623379.63%41076202053.27%930182550.96%658125752.35%176397415537611546777
16762827013107234230438151400135119122-33813130127211510878823441564903085766224690793813824217564575716742545822.83%3156978.10%71434255856.06%1344245554.75%669120255.66%192413381736570996506
17804524033232932177640251002021159106534020140130213411123106293526819260132886829170982998914202657554916402665119.17%2564084.38%41691291358.05%1326233656.76%804136658.86%2098148516925711042541
187636240046625021436381613004231261071938201100043124107179425045070023095806925040828841805224066150914722244419.64%2294182.10%51395250255.76%1310241854.18%669119755.89%190013281744555987497
198235300324821920613411814011341079894117160211411210849421938059938083705923370769739802230868353815971963216.33%2433884.36%31319249352.91%1280259849.27%620123550.20%1976135819416121075534
20824326083022852364941221205101145111344121140320114012515107285512797010999187295209419491029243773072220053095818.77%2886378.13%31648310253.13%1408266852.77%715132054.17%2059143318306031064540
218244250345131925465412411013201721333941201402131147121261093195608792301081069734490106711711159284472257920102544417.32%2333883.69%21903327258.16%1719295158.25%750136255.07%2111150418035731049536
2282373307320291254374117190221014113384120140511015012129952915308210209999843119010299921081283379073820592294519.65%3005382.33%51803320156.33%1650302254.60%739130656.58%2020140718775891042522
238240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
Total Regular Season151073649506452877654724656816755386238033223541276522974687553502570313052352707235934819025472929514767345010216011952167557163103218649194661764548994154501282138418447998521.99%394584878.50%74243784484154.37%213354027752.97%128582407953.40%350492167833774143242533312679
Playoff
5115600000333305320000021156624000001218-610335790000815847301601751314621611312771915.26%17382.35%014827354.21%14827853.24%7518540.54%23312920131039212103
61710700000666069540000042393853000002421320661141801102225196710257233181556173129489351028.57%27677.78%223942755.97%17836548.77%16030053.33%37221341022089323160
71367000003539-4624000001420-6743000002119212355893000817843601321571374731611113552129.52%42783.33%215630551.15%16931453.82%9718652.15%262130277132265133
81046000002936-7532000001415-1514000001521-68295281110910938301181281334091497626030310.00%25676.00%014927753.79%12326047.31%8916653.61%2091162159418289
919910000005760-311560000030291844000002731-4185793150110142415747025424122878128014952040922.50%451175.56%123049346.65%25452348.57%12828744.60%407225410185360177
10514000001419-52110000076130300000713-621421351002751750386275198693612019421.05%13469.23%26012647.62%6413049.23%377946.84%96461004910352
11624000001818031200000880312000001010041834521005582450779375238797315315426.67%14564.29%09017850.56%8616053.75%468554.12%128741275310352
12624000001625-93210000099030300000716-941628441005642300678372285859015811218.18%25868.00%07915451.30%9319348.19%439246.74%124681415710952
1311650000040355532000001815363300000222021240701101007211243501341621354191428029929620.69%25676.00%114828352.30%13125850.78%9619050.53%23012823210620598
14514000001320-72110000056-130300000814-621320330003641890666159221664312714214.29%19857.89%06613050.77%8014156.74%447955.70%10053113489146
1540400000611-52020000035-22020000036-30612180003211270554030173636583300.00%13284.62%1468653.49%6011154.05%285749.12%753786407837
161257000003845-75410000021156716000001730-1310387010800020610352012695122421130143254401025.00%651281.54%120138652.07%23142754.10%11221851.38%2721843009015876
17514000001114-32020000046-23120000078-1211182900051519806457731414024942528.00%12558.33%010220150.75%8915358.17%407354.79%13294107356433
18734000002128-73210000011110413000001017-76214061000974275067817824770501512514.00%25196.00%016930555.41%16928459.51%7312956.59%1981352016311255
19514000001016-62110000055030300000511-62102030000361112040393315558531217114.29%22386.36%17113851.45%8617748.59%307341.10%10368131376429
20115600000363605410000021129615000001524-910366610210014129375012513210340011210028837616.22%481177.08%120641050.24%20042347.28%9519349.22%2581742798414369
2121129000005859-11174000003031-11055000002828024581021600101923136480217200225712215199514661116.67%821581.71%036674649.06%40582549.09%15032346.44%480330525160267131
22514000001423-92110000088030300000615-921426400005621580543764196595213218316.67%26773.08%07416943.79%10320250.99%408447.62%11374126386733
Total Playoff173749900000515577-62834538000002712551690296100000244322-7814851590114168401611991376229020512076195464872112160443954547716.96%54512077.98%122600508751.11%2669522451.09%1383279949.41%380022869493440829141435

Gulls Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Kris Newbury50201636-2981406013714.60%1181316.2873102100002153.00%00.8800
2Jeff Taffe53122032-3755911488.11%3581315.36358702233048.72%00.7900
3Mike Zigomanis3911182962761831338.27%2668617.61112600000056.30%00.8400
4Derek Mackenzie17919289216378011.25%632218.981341000001052.13%01.7400
5Christian Fischer378182672491741246.45%377220.871342200000042.65%00.6700

Gulls Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Linus Ullmark32171500.9142.931907219310790110.0000
2Mark Dekanich30121530.9233.08183321941214596030.0000
3Wade Dubielewicz24111210.9232.9214822072935230100.0000
4Mark Dekanich159600.8973.418972151494239010.0000
5Dan Taylor178630.9173.3410430058702375020.0000